
Cube vs SLayer-using agent? We ran a benchmark expecting a close fight. It wasn't close.
A few weeks back we showed that an agent using our semantic layer (SLayer) beat a raw-SQL agent by...
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A few weeks back we showed that an agent using our semantic layer (SLayer) beat a raw-SQL agent by...
The article presents the concept of AI-Augmented Data Practice as an evolution of data management...
Enterprises using governed semantic layers see twice as many AI mis‑answers. Learn why missing context hurts AI agents and how to fix it.

Connecting an LLM to Your Data Is the 21% Solution. I hear the same question in almost...

Are all semantic layers created the same? Semantic layers are all the rage these days. There are...
Before adopting Cube.dev or building a custom framework, use your warehouse's native metadata...
The Data Analyst Business Intelligence and Reporting Infrastructure Interview Rewards...
A guide to AI data analysis for SaaS: the tool categories, the accuracy problem, and how to get governed charts back inside the AI agents your customers use.
An analytics API exposes your metrics programmatically. How to build one that serves dashboards, AI agents, and integrations from the same definitions.
KPI dashboards show stale numbers nobody trusts. Governed metrics through a semantic layer give every consumer the same live data, dashboards to AI agents.
A semantic layer defines business metrics once so every consumer gets the same answer, including AI agents. How it works, with code examples.
Self-service BI for customers promised to free the data team. Instead it created metric chaos. The category, the tradeoffs, and where AI agents fit in.